Headline

Sr. Data Scientist at ManpowerGroup | Ex- Data Scientist at ZS Associates | NIT Trichy 23’

About

I build AI solutions 0-to-1 — then scale them into systems the business trusts and uses daily. I graduated with a B.Tech from the National Institute of Technology, Tiruchirappalli, and currently work as a Senior Data Scientist at ManpowerGroup. Over the past few years, I've designed and delivered AI-integrated MVPs in short development cycles, with a focus on scaling them into production-ready solutions aligned with organizational goals. I enjoy the challenge of rapid 0-to-1 prototyping and turning early concepts into robust, scalable systems. Since most of my projects are business-facing, I've developed a habit of constantly asking: "How do I make this solution understandable and valuable to the business?" I bring hands-on expertise in AI, data science, and model development, along with strong skills in Python, SQL, and PySpark, to deliver impactful, analytics-driven outcomes. I'm passionate about improving operational efficiency and building full-stack machine learning pipelines through MLOps practices. Even in the age of LLMs, I remain deeply interested in classical ML and its continued relevance. In this AI era, I believe in creating solutions that deliver real business value, not just scaling token usage.

Location

Bengaluru

AI stack

anthropic apis

cursor

gemini

langchain

langfuse

langgraph

Work experience

Senior Data Scientist at ManpowerGroup, Jun 2025 - Present · 1 yr 5 mos, Bengaluru, Karnataka, India, - Collaborated with business stakeholders to identify data science and analytics opportunities. - Developed and designed over 10 AI-integrated MVPs in short cycles. - Scaled the approved MVPs into production-ready solutions (RAG Systems, Multi Agentic workflows), enhancing operational efficacy. - Built end to end ML pipeline (EDA -> Modelling -> Deployment) to predict the win probability of sales opportunities. - Used SHAP Values to make the model predictions more explainable.

Advanced Data Science Associate at ZS, Sep 2023 - Jun 2025 · 1 yr 10 mos, Bengaluru, Karnataka, India, Leverage machine learning and advanced analytics to deliver impactful solutions for a Fortune 50 pharmaceutical client. Key contributions include: - ETL Pipeline Development: Designed and optimized scalable ETL pipelines for large-scale data ingestion and feature engineering. - Impact Analytics: Deployed predictive models to maximize drug portfolio performance for healthcare professionals. - Churn Prediction Model: Built a dynamic supervised learning model to proactively target healthcare providers ahead of a major drug launch. Technical Expertise: Proficient in Python, SQL, PySpark, Scikit-learn, and cloud-native tools (Amazon S3, Kubernetes, Docker) with a focus on MLOps for automated model deployment. Delivered actionable insights from complex datasets, enabling stakeholders to make data-driven decisions with measurable business impact.

Data Analytics Intern at Masalabox Food Network Pvt Ltd, Jun 2022 - Aug 2022 · 3 mos, Remote, My primary goal was to build centralized Dashboards in MS Excel to generate business insights from the fragmented revenue data. o Saved ~50% time spent every month on building ad-hoc analyses to generate Business Insights. o Used MySQL to combine data from 700+ data tables to build a master table in one week. o Built a centralized dashboard in Excel with 6+ parameters to analyse the data. o Improved the quality of business insights generated by increasing the revenue visibility to a branch-level granularity. o Automated monthly summary reports giving insights on trends up to city & state level sales.

Facilities Manager at SCIEnT - Student Centre for Innovation in Engineering and Technology, May 2022 - May 2023 · 1 yr 1 mo, Tiruchirappalli, Tamil Nadu, India

Club Head at ProfNITT -The Finance and Investments Club of NIT Trichy, Aug 2021 - May 2023 · 1 yr 10 mos, India

Education

Bachelor of Technology - BTech, Instrumentation Technology/Technician, National Institute of Technology, Tiruchirappalli

12th grade, Maharishi International Residential School

Public links

github: https://github.com/aswinsamay